Text Generation
PEFT
Safetensors
English
lora
unsloth
lfm2
code
pull-request
model-inversion
conversational
Instructions to use Codingstark/LFM2.5-350M-PR-Origin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Codingstark/LFM2.5-350M-PR-Origin with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-350M") model = PeftModel.from_pretrained(base_model, "Codingstark/LFM2.5-350M-PR-Origin") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Codingstark/LFM2.5-350M-PR-Origin with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Codingstark/LFM2.5-350M-PR-Origin to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Codingstark/LFM2.5-350M-PR-Origin to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Codingstark/LFM2.5-350M-PR-Origin to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Codingstark/LFM2.5-350M-PR-Origin", max_seq_length=2048, )
File size: 736 Bytes
e82ccf1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"base_model": "LiquidAI/LFM2.5-350M",
"base_revision": "b9d6e4e2d75f440b12a2b4d731c808004ecbbd89",
"seed": 3407,
"data_mode": "huggingface",
"dataset": "OSAPRD/OSAPRD",
"dataset_revision": "1c8ed7b6963ae31e4b601fdbfdbe83b8e8817c82",
"samples_per_class": 500,
"max_seq_length": 2048,
"lora_r": 16,
"lora_alpha": 16,
"target_modules": [
"q_proj",
"k_proj",
"v_proj",
"out_proj",
"in_proj",
"w1",
"w2",
"w3"
],
"labels": [
"codex",
"claude",
"unknown"
],
"confidence_threshold": 0.8,
"margin_threshold": 0.15,
"versions": {
"torch": "2.11.0+cu128",
"transformers": "5.5.0",
"trl": "0.24.0",
"datasets": "4.3.0",
"unsloth": "2026.7.6"
}
} |